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A Forecasting Model for the Detection Demand of Automobiles

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Gang Xie

    (Tianjin University
    Tianjin Public Security Traffic Administration Bureaus)

  • Guang-chao Wang

    (Tianjin University)

  • Shou-feng Ma

    (Tianjin University)

Abstract

The paper proposes a GM (1, N) model for urban automobile detection demand forecast, which lays the foundation for the planning of detection site capability as well as the site network. The paper considers the automobile detection regulation, and takes the vehicle ownership in each class basing on the detection rule as the input variables. The grey incidence analysis is applied to determine the variables to employ, and then build up the GM (1, N) model for vehicle detection demand forecast. The efficiency of model is validated with the data of the City of Tianjin.

Suggested Citation

  • Gang Xie & Guang-chao Wang & Shou-feng Ma, 2013. "A Forecasting Model for the Detection Demand of Automobiles," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 105-115, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40072-8_10
    DOI: 10.1007/978-3-642-40072-8_10
    as

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